The job in short
Pre-sales solutions consulting management.
Details
- Found
- 21 d ago · posted 2026-08-20
- Location as listed
- Cochin, KL, India
- Role
- Pre-sales / Solutions Engineer
- Source
- The company’s own careers site
Full description
Job Title: Solutions Consulting Manager
Job Code: CUB/2026/SSE/021
Experience: 6 years
Job Location: Infopark, Kochi
Why Join Us?
•
• Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
• Competitive Compensation: Attractive salary package and performance-based incentives.
Key Responsibilities
1. End-to-End Pre-Sales Ownership
•
• Own the technical pre-sales lifecycle from first discussion to deal closure.
• Partner with sales to qualify opportunities and define winning strategies.
• Act as the primary technical voice in client conversations.
2. Discovery & Problem Definition
•
• Lead client discovery sessions to understand business goals, constraints, and challenges.
• Go beyond stated requirements to identify underlying problems and opportunities.
• Convert ambiguous ideas into structured solution directions.
3. Solution Design & Positioning
•
• Design practical, scalable, and business-aligned solutions across AI, web, and enterprise platforms.
• Create high-level architectures, workflows, and solution narratives.
• Position solutions in a way that highlights business impact, ROI, and differentiation.
4. Proposal & Deal Support
•
• Own the creation of:
• Proposals
• Scope documents
• Solution approaches
• Effort estimates (with engineering support)
• Drive RFP/RFI/RFQ responses with clarity and competitiveness.
• Support negotiations by aligning solution, scope, and commercial structure.
5. AI & Innovation-Led Solutioning
•
• Identify opportunities to integrate:
• Generative AI
• Automation workflows
• Data-driven insights
• Conceptualize and guide PoCs, demos, and prototypes that strengthen deal confidence.
6. Cross-Functional Coordination
•
• Work closely with:
• Engineering & Architecture teams
• AI/ML teams
• UI/UX teams
• Delivery teams
• Ensure feasibility, alignment, and smooth transition from pre-sales to delivery.
7. Sales Enablement & Thought Leadership
•
• Support sales with pitch decks, demos, and solution storytelling.
• Contribute to reusable assets: case studies, solution frameworks, demo kits.
• Stay updated on industry trends and bring new solution ideas proactively.
Required Experience
•
• 5–10 years in Pre-Sales, Solution Consulting, or Technical Consulting roles.
• Strong experience in client-facing roles within software services or SaaS.
• Proven track record of supporting or influencing deal closures.
• Experience in AI-driven or digital transformation projects is highly preferred.
Technical Skills
•
• Strong understanding of modern application architectures:
• Web & Mobile applications
• APIs and integrations
• Cloud-based systems
• Familiarity with:
• Backend: Laravel / Node / Python ecosystems
• Frontend: React or similar frameworks
• Databases: MySQL or equivalent
• Good understanding of:
• Generative AI & LLM ecosystems (OpenAI, Claude, Gemini)
• Prompt engineering & AI workflows
• RAG, vector databases (basic understanding is sufficient)
• Awareness of:
• AWS / Azure / GCP
• DevOps basics (CI/CD, Docker)
Core Competencies
•
• Strong solutioning mindset with business orientation
• Ability to translate business problems into technical solutions
• Excellent proposal writing and presentation skills
• Strong stakeholder management and communication
• Ability to handle multiple deals in parallel
• Ownership mindset with focus on winning deals, not just designing solutions
Preferred Skills
•
• Domain understanding in atleast one among Healthcare, Insurance, SaaS, or Enterprise Platforms
• Exposure to automation tools (Zapier, Workato, etc.)
• Familiarity with Microsoft ecosystem integrations
• MBA or business exposure is a plus
Qualification
•
• Bachelor’s degree in Engineering / Technology / Computer Science
• Relevant certifications in AI, Cloud, or Architecture are an added advantage
Pre-sales / Solutions Engineer jobs in India · All Cubet jobs